How to Install and Uninstall python3-matplotlib.x86_64 Package on Fedora 34
Last updated: September 28,2024
1. Install "python3-matplotlib.x86_64" package
Please follow the instructions below to install python3-matplotlib.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-matplotlib.x86_64
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2. Uninstall "python3-matplotlib.x86_64" package
In this section, we are going to explain the necessary steps to uninstall python3-matplotlib.x86_64 on Fedora 34:
$
sudo dnf remove
python3-matplotlib.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-matplotlib.x86_64 package on Fedora 34
Last metadata expiration check: 1:18:28 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python3-matplotlib
Version : 3.4.3
Release : 2.fc34
Architecture : x86_64
Size : 2.8 M
Source : python-matplotlib-3.4.3-2.fc34.src.rpm
Repository : updates
Summary : Python 2D plotting library
URL : http://matplotlib.org
License : Python and MIT and Public Domain
Description : Matplotlib is a Python 2D plotting library which produces publication
: quality figures in a variety of hardcopy formats and interactive
: environments across platforms. Matplotlib can be used in Python
: scripts, the Python and IPython shell, web application servers, and
: various graphical user interface toolkits.
:
: Matplotlib tries to make easy things easy and hard things possible.
: You can generate plots, histograms, power spectra, bar charts,
: errorcharts, scatterplots, etc, with just a few lines of code.
Available Packages
Name : python3-matplotlib
Version : 3.4.3
Release : 2.fc34
Architecture : x86_64
Size : 2.8 M
Source : python-matplotlib-3.4.3-2.fc34.src.rpm
Repository : updates
Summary : Python 2D plotting library
URL : http://matplotlib.org
License : Python and MIT and Public Domain
Description : Matplotlib is a Python 2D plotting library which produces publication
: quality figures in a variety of hardcopy formats and interactive
: environments across platforms. Matplotlib can be used in Python
: scripts, the Python and IPython shell, web application servers, and
: various graphical user interface toolkits.
:
: Matplotlib tries to make easy things easy and hard things possible.
: You can generate plots, histograms, power spectra, bar charts,
: errorcharts, scatterplots, etc, with just a few lines of code.